Overview

Dataset statistics

Number of variables20
Number of observations841
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory131.5 KiB
Average record size in memory160.2 B

Variable types

NUM19
CAT1

Reproduction

Analysis started2020-08-25 01:04:47.548852
Analysis finished2020-08-25 01:05:44.143611
Duration56.59 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

have has 20 (2.4%) zeros Zeros
things has 387 (46.0%) zeros Zeros
been has 99 (11.8%) zeros Zeros
must has 144 (17.1%) zeros Zeros
may has 309 (36.7%) zeros Zeros
would has 61 (7.3%) zeros Zeros
any has 163 (19.4%) zeros Zeros
when has 15 (1.8%) zeros Zeros
its has 408 (48.5%) zeros Zeros
upon has 195 (23.2%) zeros Zeros
up has 97 (11.5%) zeros Zeros

Variables

have
Real number (ℝ≥0)

ZEROS

Distinct count31
Unique (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.971462544589775
Minimum0.0
Maximum34.0
Zeros20
Zeros (%)2.4%
Memory size6.7 KiB
2020-08-25T01:05:44.190343image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q313
95-th percentile20
Maximum34
Range34
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.06348508
Coefficient of variation (CV)0.6758636119
Kurtosis0.2191858137
Mean8.971462545
Median Absolute Deviation (MAD)4
Skewness0.7437618519
Sum7545
Variance36.76585131
2020-08-25T01:05:44.307249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2627.4%
 
8586.9%
 
3586.9%
 
9546.4%
 
6536.3%
 
7526.2%
 
4505.9%
 
5505.9%
 
11445.2%
 
12435.1%
 
1435.1%
 
13404.8%
 
14333.9%
 
10323.8%
 
17293.4%
 
0202.4%
 
15202.4%
 
18192.3%
 
20161.9%
 
19161.9%
 
16161.9%
 
2170.8%
 
2450.6%
 
2750.6%
 
2540.5%
 
Other values (6)121.4%
 
ValueCountFrequency (%) 
0202.4%
 
1435.1%
 
2627.4%
 
3586.9%
 
4505.9%
 
5505.9%
 
6536.3%
 
7526.2%
 
8586.9%
 
9546.4%
 
ValueCountFrequency (%) 
3410.1%
 
2910.1%
 
2810.1%
 
2750.6%
 
2630.4%
 
2540.5%
 
2450.6%
 
2320.2%
 
2240.5%
 
2170.8%
 

a
Real number (ℝ≥0)

Distinct count57
Unique (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.634958382877528
Minimum0.0
Maximum63.0
Zeros1
Zeros (%)0.1%
Memory size6.7 KiB
2020-08-25T01:05:44.424257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q124
median30
Q338
95-th percentile48
Maximum63
Range63
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.28226236
Coefficient of variation (CV)0.3356382024
Kurtosis-0.1523053072
Mean30.63495838
Median Absolute Deviation (MAD)7
Skewness-0.04070892061
Sum25764
Variance105.7249193
2020-08-25T01:05:44.534078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
30465.5%
 
28404.8%
 
33394.6%
 
25333.9%
 
29333.9%
 
27323.8%
 
31313.7%
 
36293.4%
 
35273.2%
 
23273.2%
 
24273.2%
 
34263.1%
 
40253.0%
 
39242.9%
 
26232.7%
 
38232.7%
 
22222.6%
 
21212.5%
 
32202.4%
 
19202.4%
 
41192.3%
 
37182.1%
 
20182.1%
 
16172.0%
 
46172.0%
 
Other values (32)18421.9%
 
ValueCountFrequency (%) 
010.1%
 
210.1%
 
420.2%
 
520.2%
 
640.5%
 
750.6%
 
830.4%
 
920.2%
 
1030.4%
 
1191.1%
 
ValueCountFrequency (%) 
6310.1%
 
5710.1%
 
5610.1%
 
5510.1%
 
5420.2%
 
5340.5%
 
5220.2%
 
5130.4%
 
50131.5%
 
4981.0%
 

that
Real number (ℝ≥0)

Distinct count38
Unique (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.80975029726516
Minimum0.0
Maximum50.0
Zeros2
Zeros (%)0.2%
Memory size6.7 KiB
2020-08-25T01:05:44.649435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q115
median19
Q324
95-th percentile31
Maximum50
Range50
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.641281435
Coefficient of variation (CV)0.3352531625
Kurtosis1.243314799
Mean19.8097503
Median Absolute Deviation (MAD)4
Skewness0.7109821854
Sum16660
Variance44.1066191
2020-08-25T01:05:44.748815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
17637.5%
 
21597.0%
 
19556.5%
 
16546.4%
 
18536.3%
 
14495.8%
 
20485.7%
 
22435.1%
 
15374.4%
 
24354.2%
 
13354.2%
 
26354.2%
 
11313.7%
 
12263.1%
 
23263.1%
 
28253.0%
 
27253.0%
 
25242.9%
 
10151.8%
 
30151.8%
 
8121.4%
 
33101.2%
 
29101.2%
 
31101.2%
 
981.0%
 
Other values (13)384.5%
 
ValueCountFrequency (%) 
020.2%
 
640.5%
 
8121.4%
 
981.0%
 
10151.8%
 
11313.7%
 
12263.1%
 
13354.2%
 
14495.8%
 
15374.4%
 
ValueCountFrequency (%) 
5020.2%
 
4330.4%
 
4220.2%
 
4110.1%
 
4010.1%
 
3910.1%
 
3730.4%
 
3630.4%
 
3530.4%
 
3470.8%
 

and
Real number (ℝ≥0)

Distinct count83
Unique (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.06896551724138
Minimum5.0
Maximum139.0
Zeros0
Zeros (%)0.0%
Memory size6.7 KiB
2020-08-25T01:05:44.854709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile36
Q146
median55
Q367
95-th percentile83
Maximum139
Range134
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.69963603
Coefficient of variation (CV)0.2750993624
Kurtosis1.722195795
Mean57.06896552
Median Absolute Deviation (MAD)10
Skewness0.6969358299
Sum47995
Variance246.4785714
2020-08-25T01:05:44.956842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
46273.2%
 
51273.2%
 
58273.2%
 
55263.1%
 
45263.1%
 
53263.1%
 
44253.0%
 
47242.9%
 
54232.7%
 
59222.6%
 
61222.6%
 
48222.6%
 
56212.5%
 
69212.5%
 
43212.5%
 
49202.4%
 
50192.3%
 
70192.3%
 
57192.3%
 
41182.1%
 
52161.9%
 
42151.8%
 
65151.8%
 
64151.8%
 
60151.8%
 
Other values (58)31036.9%
 
ValueCountFrequency (%) 
510.1%
 
1120.2%
 
1210.1%
 
2010.1%
 
2110.1%
 
2310.1%
 
2530.4%
 
2720.2%
 
2820.2%
 
3010.1%
 
ValueCountFrequency (%) 
13910.1%
 
13110.1%
 
11810.1%
 
11610.1%
 
11110.1%
 
10710.1%
 
10410.1%
 
10210.1%
 
9710.1%
 
9640.5%
 

things
Real number (ℝ≥0)

ZEROS

Distinct count10
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.995243757431629
Minimum0.0
Maximum11.0
Zeros387
Zeros (%)46.0%
Memory size6.7 KiB
2020-08-25T01:05:45.069485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.336297735
Coefficient of variation (CV)1.342683865
Kurtosis7.398807019
Mean0.9952437574
Median Absolute Deviation (MAD)1
Skewness2.20208195
Sum837
Variance1.785691637
2020-08-25T01:05:45.166980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
038746.0%
 
125430.2%
 
210612.6%
 
3516.1%
 
4222.6%
 
6111.3%
 
560.7%
 
820.2%
 
710.1%
 
1110.1%
 
ValueCountFrequency (%) 
038746.0%
 
125430.2%
 
210612.6%
 
3516.1%
 
4222.6%
 
560.7%
 
6111.3%
 
710.1%
 
820.2%
 
1110.1%
 
ValueCountFrequency (%) 
1110.1%
 
820.2%
 
710.1%
 
6111.3%
 
560.7%
 
4222.6%
 
3516.1%
 
210612.6%
 
125430.2%
 
038746.0%
 

for
Real number (ℝ≥0)

Distinct count27
Unique (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.795481569560048
Minimum3.0
Maximum29.0
Zeros0
Zeros (%)0.0%
Memory size6.7 KiB
2020-08-25T01:05:45.277367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q110
median13
Q317
95-th percentile22
Maximum29
Range26
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.71810379
Coefficient of variation (CV)0.3420035586
Kurtosis-0.1959505159
Mean13.79548157
Median Absolute Deviation (MAD)3
Skewness0.2946826317
Sum11602
Variance22.26050337
2020-08-25T01:05:45.380419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
13769.0%
 
12738.7%
 
11657.7%
 
15627.4%
 
14617.3%
 
10576.8%
 
17536.3%
 
16526.2%
 
18445.2%
 
9435.1%
 
8425.0%
 
19384.5%
 
7333.9%
 
20293.4%
 
21232.7%
 
6192.3%
 
22182.1%
 
23131.5%
 
591.1%
 
2581.0%
 
460.7%
 
350.6%
 
2450.6%
 
2830.4%
 
2620.2%
 
Other values (2)20.2%
 
ValueCountFrequency (%) 
350.6%
 
460.7%
 
591.1%
 
6192.3%
 
7333.9%
 
8425.0%
 
9435.1%
 
10576.8%
 
11657.7%
 
12738.7%
 
ValueCountFrequency (%) 
2910.1%
 
2830.4%
 
2710.1%
 
2620.2%
 
2581.0%
 
2450.6%
 
23131.5%
 
22182.1%
 
21232.7%
 
20293.4%
 

been
Real number (ℝ≥0)

ZEROS

Distinct count24
Unique (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.613555291319857
Minimum0.0
Maximum27.0
Zeros99
Zeros (%)11.8%
Memory size6.7 KiB
2020-08-25T01:05:45.494862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile12
Maximum27
Range27
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.983508484
Coefficient of variation (CV)0.8634357308
Kurtosis2.833087817
Mean4.613555291
Median Absolute Deviation (MAD)3
Skewness1.369467229
Sum3880
Variance15.86833984
2020-08-25T01:05:45.595779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
210412.4%
 
110312.2%
 
09911.8%
 
39411.2%
 
5819.6%
 
4809.5%
 
8556.5%
 
6505.9%
 
7485.7%
 
9414.9%
 
10222.6%
 
11192.3%
 
12121.4%
 
1391.1%
 
1750.6%
 
1640.5%
 
1830.4%
 
1430.4%
 
2120.2%
 
2220.2%
 
1520.2%
 
2710.1%
 
2010.1%
 
1910.1%
 
ValueCountFrequency (%) 
09911.8%
 
110312.2%
 
210412.4%
 
39411.2%
 
4809.5%
 
5819.6%
 
6505.9%
 
7485.7%
 
8556.5%
 
9414.9%
 
ValueCountFrequency (%) 
2710.1%
 
2220.2%
 
2120.2%
 
2010.1%
 
1910.1%
 
1830.4%
 
1750.6%
 
1640.5%
 
1520.2%
 
1430.4%
 

must
Real number (ℝ≥0)

ZEROS

Distinct count16
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1438763376932224
Minimum0.0
Maximum21.0
Zeros144
Zeros (%)17.1%
Memory size6.7 KiB
2020-08-25T01:05:45.710920image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile9
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.804246559
Coefficient of variation (CV)0.8919710123
Kurtosis2.417975373
Mean3.143876338
Median Absolute Deviation (MAD)2
Skewness1.256047889
Sum2644
Variance7.863798766
2020-08-25T01:05:45.804269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
216019.0%
 
014417.1%
 
112915.3%
 
310212.1%
 
4799.4%
 
5708.3%
 
6526.2%
 
7354.2%
 
8242.9%
 
9232.7%
 
1091.1%
 
1170.8%
 
1330.4%
 
1420.2%
 
2110.1%
 
1210.1%
 
ValueCountFrequency (%) 
014417.1%
 
112915.3%
 
216019.0%
 
310212.1%
 
4799.4%
 
5708.3%
 
6526.2%
 
7354.2%
 
8242.9%
 
9232.7%
 
ValueCountFrequency (%) 
2110.1%
 
1420.2%
 
1330.4%
 
1210.1%
 
1170.8%
 
1091.1%
 
9232.7%
 
8242.9%
 
7354.2%
 
6526.2%
 

so
Real number (ℝ≥0)

Distinct count24
Unique (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.03448275862069
Minimum0.0
Maximum29.0
Zeros4
Zeros (%)0.5%
Memory size6.7 KiB
2020-08-25T01:05:45.901667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q311
95-th percentile15
Maximum29
Range29
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.133198923
Coefficient of variation (CV)0.5144324839
Kurtosis0.5262001173
Mean8.034482759
Median Absolute Deviation (MAD)3
Skewness0.6102799766
Sum6757
Variance17.08333333
2020-08-25T01:05:46.003706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
78410.0%
 
88410.0%
 
5809.5%
 
9758.9%
 
6647.6%
 
10627.4%
 
4586.9%
 
3566.7%
 
11516.1%
 
2445.2%
 
12404.8%
 
14364.3%
 
13303.6%
 
15182.1%
 
1151.8%
 
16141.7%
 
17101.2%
 
1960.7%
 
1860.7%
 
040.5%
 
2010.1%
 
2910.1%
 
2210.1%
 
2310.1%
 
ValueCountFrequency (%) 
040.5%
 
1151.8%
 
2445.2%
 
3566.7%
 
4586.9%
 
5809.5%
 
6647.6%
 
78410.0%
 
88410.0%
 
9758.9%
 
ValueCountFrequency (%) 
2910.1%
 
2310.1%
 
2210.1%
 
2010.1%
 
1960.7%
 
1860.7%
 
17101.2%
 
16141.7%
 
15182.1%
 
14364.3%
 

by
Real number (ℝ≥0)

Distinct count21
Unique (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.764565992865636
Minimum0.0
Maximum23.0
Zeros5
Zeros (%)0.6%
Memory size6.7 KiB
2020-08-25T01:05:46.107409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q310
95-th percentile14
Maximum23
Range23
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.573944078
Coefficient of variation (CV)0.4602889693
Kurtosis0.03830008294
Mean7.764565993
Median Absolute Deviation (MAD)3
Skewness0.3729486519
Sum6530
Variance12.77307627
2020-08-25T01:05:46.201890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
69711.5%
 
89611.4%
 
78610.2%
 
10769.0%
 
5748.8%
 
9657.7%
 
11597.0%
 
4586.9%
 
3505.9%
 
12445.2%
 
2354.2%
 
13333.9%
 
14222.6%
 
15151.8%
 
1111.3%
 
1660.7%
 
050.6%
 
1750.6%
 
1820.2%
 
2310.1%
 
2110.1%
 
ValueCountFrequency (%) 
050.6%
 
1111.3%
 
2354.2%
 
3505.9%
 
4586.9%
 
5748.8%
 
69711.5%
 
78610.2%
 
89611.4%
 
9657.7%
 
ValueCountFrequency (%) 
2310.1%
 
2110.1%
 
1820.2%
 
1750.6%
 
1660.7%
 
15151.8%
 
14222.6%
 
13333.9%
 
12445.2%
 
11597.0%
 

may
Real number (ℝ≥0)

ZEROS

Distinct count11
Unique (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.868014268727705
Minimum0.0
Maximum15.0
Zeros309
Zeros (%)36.7%
Memory size6.7 KiB
2020-08-25T01:05:46.302394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.129260319
Coefficient of variation (CV)1.139852278
Kurtosis2.263490082
Mean1.868014269
Median Absolute Deviation (MAD)1
Skewness1.372226368
Sum1571
Variance4.533749505
2020-08-25T01:05:46.410720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
030936.7%
 
115318.2%
 
211814.0%
 
39110.8%
 
4708.3%
 
6394.6%
 
5323.8%
 
7131.5%
 
991.1%
 
860.7%
 
1510.1%
 
ValueCountFrequency (%) 
030936.7%
 
115318.2%
 
211814.0%
 
39110.8%
 
4708.3%
 
5323.8%
 
6394.6%
 
7131.5%
 
860.7%
 
991.1%
 
ValueCountFrequency (%) 
1510.1%
 
991.1%
 
860.7%
 
7131.5%
 
6394.6%
 
5323.8%
 
4708.3%
 
39110.8%
 
211814.0%
 
115318.2%
 

be
Real number (ℝ≥0)

Distinct count39
Unique (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.374554102259216
Minimum0.0
Maximum49.0
Zeros5
Zeros (%)0.6%
Memory size6.7 KiB
2020-08-25T01:05:46.687645image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median11
Q317
95-th percentile27
Maximum49
Range49
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.78376022
Coefficient of variation (CV)0.6290133896
Kurtosis0.3692499571
Mean12.3745541
Median Absolute Deviation (MAD)6
Skewness0.737222886
Sum10407
Variance60.58692316
2020-08-25T01:05:46.792403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
6505.9%
 
7475.6%
 
5465.5%
 
4455.4%
 
8414.9%
 
17404.8%
 
13394.6%
 
9384.5%
 
16374.4%
 
15364.3%
 
3364.3%
 
10344.0%
 
12323.8%
 
11323.8%
 
18323.8%
 
2313.7%
 
14303.6%
 
19253.0%
 
21202.4%
 
1202.4%
 
22192.3%
 
24161.9%
 
20151.8%
 
23121.4%
 
26101.2%
 
Other values (14)586.9%
 
ValueCountFrequency (%) 
050.6%
 
1202.4%
 
2313.7%
 
3364.3%
 
4455.4%
 
5465.5%
 
6505.9%
 
7475.6%
 
8414.9%
 
9384.5%
 
ValueCountFrequency (%) 
4910.1%
 
4210.1%
 
3710.1%
 
3510.1%
 
3430.4%
 
3340.5%
 
3220.2%
 
3170.8%
 
3020.2%
 
2981.0%
 

would
Real number (ℝ≥0)

ZEROS

Distinct count23
Unique (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.969084423305588
Minimum0.0
Maximum25.0
Zeros61
Zeros (%)7.3%
Memory size6.7 KiB
2020-08-25T01:05:46.906303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile13
Maximum25
Range25
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.926284472
Coefficient of variation (CV)0.7901424362
Kurtosis2.079169803
Mean4.969084423
Median Absolute Deviation (MAD)2
Skewness1.250342494
Sum4179
Variance15.41570976
2020-08-25T01:05:47.009828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
210212.1%
 
310011.9%
 
19711.5%
 
48510.1%
 
58510.1%
 
6728.6%
 
0617.3%
 
7556.5%
 
8505.9%
 
9344.0%
 
10293.4%
 
13141.7%
 
12131.5%
 
11121.4%
 
1670.8%
 
1470.8%
 
1560.7%
 
1840.5%
 
1730.4%
 
1920.2%
 
2510.1%
 
2110.1%
 
2310.1%
 
ValueCountFrequency (%) 
0617.3%
 
19711.5%
 
210212.1%
 
310011.9%
 
48510.1%
 
58510.1%
 
6728.6%
 
7556.5%
 
8505.9%
 
9344.0%
 
ValueCountFrequency (%) 
2510.1%
 
2310.1%
 
2110.1%
 
1920.2%
 
1840.5%
 
1730.4%
 
1670.8%
 
1560.7%
 
1470.8%
 
13141.7%
 

any
Real number (ℝ≥0)

ZEROS

Distinct count16
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.858501783590963
Minimum0.0
Maximum15.0
Zeros163
Zeros (%)19.4%
Memory size6.7 KiB
2020-08-25T01:05:47.112000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.715511377
Coefficient of variation (CV)0.9499771498
Kurtosis1.733116915
Mean2.858501784
Median Absolute Deviation (MAD)2
Skewness1.290724876
Sum2404
Variance7.374002038
2020-08-25T01:05:47.227288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
016319.4%
 
116219.3%
 
214216.9%
 
310212.1%
 
48710.3%
 
5516.1%
 
6435.1%
 
7313.7%
 
8222.6%
 
9141.7%
 
10111.3%
 
1150.6%
 
1340.5%
 
1420.2%
 
1210.1%
 
1510.1%
 
ValueCountFrequency (%) 
016319.4%
 
116219.3%
 
214216.9%
 
310212.1%
 
48710.3%
 
5516.1%
 
6435.1%
 
7313.7%
 
8222.6%
 
9141.7%
 
ValueCountFrequency (%) 
1510.1%
 
1420.2%
 
1340.5%
 
1210.1%
 
1150.6%
 
10111.3%
 
9141.7%
 
8222.6%
 
7313.7%
 
6435.1%
 

when
Real number (ℝ≥0)

ZEROS

Distinct count16
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.78359096313912
Minimum0.0
Maximum15.0
Zeros15
Zeros (%)1.8%
Memory size6.7 KiB
2020-08-25T01:05:47.341784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36
95-th percentile10
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.716048766
Coefficient of variation (CV)0.5677844922
Kurtosis0.5502863368
Mean4.783590963
Median Absolute Deviation (MAD)2
Skewness0.7745870244
Sum4023
Variance7.376920899
2020-08-25T01:05:47.452585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
414317.0%
 
312514.9%
 
511313.4%
 
210112.0%
 
68710.3%
 
7678.0%
 
1576.8%
 
8495.8%
 
9333.9%
 
10232.7%
 
0151.8%
 
11101.2%
 
1281.0%
 
1360.7%
 
1520.2%
 
1420.2%
 
ValueCountFrequency (%) 
0151.8%
 
1576.8%
 
210112.0%
 
312514.9%
 
414317.0%
 
511313.4%
 
68710.3%
 
7678.0%
 
8495.8%
 
9333.9%
 
ValueCountFrequency (%) 
1520.2%
 
1420.2%
 
1360.7%
 
1281.0%
 
11101.2%
 
10232.7%
 
9333.9%
 
8495.8%
 
7678.0%
 
68710.3%
 

its
Real number (ℝ≥0)

ZEROS

Distinct count12
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.197384066587396
Minimum0.0
Maximum13.0
Zeros408
Zeros (%)48.5%
Memory size6.7 KiB
2020-08-25T01:05:47.564355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.701272019
Coefficient of variation (CV)1.420824
Kurtosis6.610487231
Mean1.197384067
Median Absolute Deviation (MAD)1
Skewness2.14423458
Sum1007
Variance2.894326482
2020-08-25T01:05:47.665566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
040848.5%
 
118622.1%
 
210512.5%
 
3586.9%
 
4374.4%
 
5222.6%
 
6141.7%
 
740.5%
 
830.4%
 
920.2%
 
1310.1%
 
1210.1%
 
ValueCountFrequency (%) 
040848.5%
 
118622.1%
 
210512.5%
 
3586.9%
 
4374.4%
 
5222.6%
 
6141.7%
 
740.5%
 
830.4%
 
920.2%
 
ValueCountFrequency (%) 
1310.1%
 
1210.1%
 
920.2%
 
830.4%
 
740.5%
 
6141.7%
 
5222.6%
 
4374.4%
 
3586.9%
 
210512.5%
 

upon
Real number (ℝ≥0)

ZEROS

Distinct count11
Unique (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.126040428061831
Minimum0.0
Maximum10.0
Zeros195
Zeros (%)23.2%
Memory size6.7 KiB
2020-08-25T01:05:47.778461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.078415065
Coefficient of variation (CV)0.9775990324
Kurtosis1.41630786
Mean2.126040428
Median Absolute Deviation (MAD)1
Skewness1.262147322
Sum1788
Variance4.319809184
2020-08-25T01:05:47.883725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
121225.2%
 
019523.2%
 
216619.7%
 
38710.3%
 
4657.7%
 
5455.4%
 
6333.9%
 
7212.5%
 
1060.7%
 
860.7%
 
950.6%
 
ValueCountFrequency (%) 
019523.2%
 
121225.2%
 
216619.7%
 
38710.3%
 
4657.7%
 
5455.4%
 
6333.9%
 
7212.5%
 
860.7%
 
950.6%
 
ValueCountFrequency (%) 
1060.7%
 
950.6%
 
860.7%
 
7212.5%
 
6333.9%
 
5455.4%
 
4657.7%
 
38710.3%
 
216619.7%
 
121225.2%
 

no
Real number (ℝ≥0)

Distinct count23
Unique (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.414982164090369
Minimum0.0
Maximum25.0
Zeros2
Zeros (%)0.2%
Memory size6.7 KiB
2020-08-25T01:05:47.994549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q38
95-th percentile12
Maximum25
Range25
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.398559083
Coefficient of variation (CV)0.5297846503
Kurtosis1.985755354
Mean6.414982164
Median Absolute Deviation (MAD)2
Skewness0.9565048387
Sum5395
Variance11.55020384
2020-08-25T01:05:48.092990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
411413.6%
 
610112.0%
 
59611.4%
 
3829.8%
 
8799.4%
 
7789.3%
 
9617.3%
 
10566.7%
 
2495.8%
 
11333.9%
 
1313.7%
 
12212.5%
 
13141.7%
 
1481.0%
 
1650.6%
 
1540.5%
 
1820.2%
 
020.2%
 
1710.1%
 
2310.1%
 
2210.1%
 
2510.1%
 
1910.1%
 
ValueCountFrequency (%) 
020.2%
 
1313.7%
 
2495.8%
 
3829.8%
 
411413.6%
 
59611.4%
 
610112.0%
 
7789.3%
 
8799.4%
 
9617.3%
 
ValueCountFrequency (%) 
2510.1%
 
2310.1%
 
2210.1%
 
1910.1%
 
1820.2%
 
1710.1%
 
1650.6%
 
1540.5%
 
1481.0%
 
13141.7%
 

up
Real number (ℝ≥0)

ZEROS

Distinct count14
Unique (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9750297265160524
Minimum0.0
Maximum13.0
Zeros97
Zeros (%)11.5%
Memory size6.7 KiB
2020-08-25T01:05:48.201360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.519087993
Coefficient of variation (CV)0.8467438057
Kurtosis1.86025251
Mean2.975029727
Median Absolute Deviation (MAD)1
Skewness1.329823697
Sum2502
Variance6.345804315
2020-08-25T01:05:48.305995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
217821.2%
 
117120.3%
 
312214.5%
 
410112.0%
 
09711.5%
 
5516.1%
 
6394.6%
 
7283.3%
 
8151.8%
 
9141.7%
 
10111.3%
 
1181.0%
 
1340.5%
 
1220.2%
 
ValueCountFrequency (%) 
09711.5%
 
117120.3%
 
217821.2%
 
312214.5%
 
410112.0%
 
5516.1%
 
6394.6%
 
7283.3%
 
8151.8%
 
9141.7%
 
ValueCountFrequency (%) 
1340.5%
 
1220.2%
 
1181.0%
 
10111.3%
 
9141.7%
 
8151.8%
 
7283.3%
 
6394.6%
 
5516.1%
 
410112.0%
 

target
Categorical

Distinct count4
Unique (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
0
317
1
296
3
173
2
 
55
ValueCountFrequency (%) 
031737.7%
 
129635.2%
 
317320.6%
 
2556.5%
 
2020-08-25T01:05:48.448306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories (?)1
Unique unicode scripts (?)1
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
031737.7%
 
129635.2%
 
317320.6%
 
2556.5%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number841100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
031737.7%
 
129635.2%
 
317320.6%
 
2556.5%
 

Most occurring scripts

ValueCountFrequency (%) 
Common841100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
031737.7%
 
129635.2%
 
317320.6%
 
2556.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII841100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
031737.7%
 
129635.2%
 
317320.6%
 
2556.5%
 

Interactions

2020-08-25T01:04:48.663764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:48.821840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:48.971152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:49.122173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:49.276475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:49.433706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:49.587012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:49.744415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:49.892153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:50.040784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:50.184151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:50.338472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:50.490124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:50.637635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:50.800752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:50.958118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:51.107496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:51.254068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:51.400032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:51.548490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:51.693022image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:51.838830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:51.973630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:52.123120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:52.264998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:52.407280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:52.709681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:52.851972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:52.997581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:53.134673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:53.298985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:53.442400image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:53.581919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:53.725948image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:53.884976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:54.032569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:54.174158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:54.316940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:54.462506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:54.606168image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:54.745337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:54.883733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:55.025599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:55.161370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:55.296488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:55.439384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:55.571617image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:55.710907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:55.839386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:55.983366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:56.143057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:56.282731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:56.430228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:56.575595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:56.791649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:56.947757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:57.251553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:57.394264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:57.546953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:57.697992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:57.848544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:58.004475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:58.151273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:58.301624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:04:58.454098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:05:29.725777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:29.875224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:30.027248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:30.170206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:30.321868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:30.471288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:30.641667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:30.795260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:30.950970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:31.109699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:31.263925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:31.415268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:31.565509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:31.710638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:31.860414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:32.014700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:32.161324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:32.310742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:32.465535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:32.608826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:32.752393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:32.898589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:33.045859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:33.197346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:33.341783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:33.492673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:33.638611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:33.781410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:33.930660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:34.261858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:34.408691image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:34.554265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:34.702477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:34.846798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:34.994685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:35.137608image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:35.282213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:35.431575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:35.573470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:35.712421image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:35.848602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:35.985322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:36.125813image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:36.260049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:36.408450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:36.549259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:36.688914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:36.832595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:36.977846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:37.119991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:37.257991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:37.396184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:37.541903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:37.687577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:37.831033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:37.977021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:38.127033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:38.263426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:38.404038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:38.540510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:38.851607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:38.993172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:39.131888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:39.275475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:39.411734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:39.548107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:39.696806image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:39.840082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:39.980292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:40.120203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:40.259698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:40.402419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:40.554637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:40.704535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:40.854583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:41.003505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:41.152995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:41.294910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:41.437774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:41.580413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:41.730074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:41.864502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:42.014406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:42.158711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:42.302701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:42.456684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:42.614160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:42.765352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:42.907395image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:43.052022image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:05:48.591994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:05:48.886836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:05:49.176974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:05:49.481256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:05:43.526034image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:05:43.993741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

haveathatandthingsforbeenmustsobymaybewouldanywhenitsuponnouptarget
06.046.017.066.01.021.04.05.07.08.02.013.01.09.05.01.03.010.02.00
16.035.017.044.00.014.03.04.011.014.01.09.08.04.07.01.01.010.01.00
220.046.010.040.01.015.011.04.010.013.03.023.03.01.04.01.01.06.01.00
34.040.016.064.01.020.07.01.07.06.00.020.04.03.06.03.01.07.01.00
419.029.013.052.01.017.012.06.012.09.00.016.010.05.04.05.01.08.03.00
515.027.023.042.00.09.06.04.013.012.03.012.04.02.01.00.01.05.04.00
613.034.021.044.02.014.05.05.013.09.00.011.06.02.04.02.02.09.04.00
72.038.015.067.01.015.04.04.09.013.02.021.03.03.03.00.00.02.04.00
815.034.013.050.00.014.06.01.013.010.01.07.012.02.07.01.02.04.03.00
97.054.018.044.01.015.02.02.08.08.01.014.06.04.01.06.03.08.02.00

Last rows

haveathatandthingsforbeenmustsobymaybewouldanywhenitsuponnouptarget
8316.046.028.043.00.026.03.02.014.08.05.06.02.01.04.00.02.04.02.03
8329.048.021.045.00.011.01.04.08.05.03.020.06.05.08.00.04.08.03.03
8335.039.026.038.00.023.02.02.08.012.03.015.02.03.02.00.01.06.04.03
8348.022.030.047.00.014.00.02.07.01.04.015.06.00.06.00.04.09.02.03
8359.028.023.045.01.08.01.02.013.06.07.017.03.00.02.00.04.010.06.03
83612.032.027.033.00.020.01.03.016.05.03.018.05.00.02.00.03.07.02.03
8379.016.022.049.02.012.01.04.014.010.09.024.02.01.05.00.00.09.03.03
83811.022.016.048.03.024.04.03.08.05.02.013.01.00.02.00.05.06.013.03
8395.025.017.059.00.014.00.04.08.07.04.013.04.03.02.00.03.011.05.03
8404.026.022.062.00.013.03.02.09.04.01.015.00.00.02.00.06.04.05.03